{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["tool", "attack pattern", "attacker", "purpose", "time", "victim", "place", "trusted entity", "damage amount"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "capabilities", "common vulnerabilities and exposures", "supported platform", "vulnerable system", "vulnerable system version", "discoverer", "vulnerable system owner"]}, {"event_type": "data breach", "trigger": true, "arguments": ["compromised data", "time", "attacker", "number of victim", "damage amount", "purpose", "tool", "victim", "place"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["issues addressed", "vulnerable system version", "common vulnerabilities and exposures", "releaser", "vulnerable system", "patch number", "time", "supported platform", "vulnerability"]}, {"event_type": "ransom", "trigger": true, "arguments": ["damage amount", "place", "attacker", "payment method", "tool", "victim", "time"]}], "input": "A Ukrainian cybercrime operation has made an estimated $ 50 million by using Google AdWords to lure users on Bitcoin phishing sites ."}
{"phishing": [{"trigger": "lure", "arguments": {"tool": "Bitcoin phishing sites", "attack pattern": "NAN", "attacker": "NAN", "purpose": "NAN", "time": "NAN", "victim": "users", "place": "NAN", "trusted entity": "Google AdWords", "damage amount": "$ 50 million"}}], "discover vulnerability": [], "data breach": [], "patch vulnerability": [], "ransom": []}